Pew Research Center

FOR RELEASE APRIL 10, 2005

Spam and Phishing

More than a year after the CAN-SPAM Act became law, email users say they are receiving slightly more spam in their inboxes than before, but they are minding it less.

BY Deborah Fallows

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RECOMMENDED CITATION

Pew Research Center, April 2005, "Spam and Phishing"

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Table of contents

  • About Pew Research Center
  • Spam and Phishing
  • Questions and Data

Spam and Phishing

More than a year after the CAN-SPAM Act became law, email users say they are receiving slightly more spam in their inboxes than before, but they are minding it less.

Email users get more spam, but the harmful impact of unsolicited messages is diminishing for them

A year after the CAN-SPAM Act became law, email users say they are receiving slightly more spam than before, but they are minding it less. More than half of internet users still consider spam to be a big problem, yet the ill effects of spam on email habits and the overall internet experience have declined.

Compared to a year ago, fewer email users now say that spam is undermining their trust in email, eroding their email use, or making life online unpleasant or annoying. These findings suggest that at least for now, the worst case scenario – that spam will seriously degrade or even destroy email – is not happening, and that users are settling in to a level of discomfort with spam that is tolerable to them.

Users also report that their greatest spam irritant, pornographic email, has declined. On the other hand, 35% of email users now report they have received unsolicited email requesting personal financial information, a spamming technique known as “phishing.”

These are the general findings of a nationwide phone survey of 1, 421 internet users by the Pew Internet & American Life Project between January 13 and February 9, 2005. The margin of error in the survey is plus or minus three points. Here are some of the statistical highlights:

  • 52% of internet users consider spam a big problem
  • 28% of users with a personal email account say they are getting more spam than a year ago, while 22% say they are getting less.
  • 21% of users with a work email account say they are getting more spam than a year ago, while 16% say they are getting less.
  • 53% of email users say spam has made them less trusting of email, compared to 62% a year ago.
  • 22% of email users say that spam has reduced their overall use of email, compared to 29% a year ago.
  • 67% of email users say spam has made being online unpleasant or annoying, compared to 77% a year ago.
  • 63% of email users say they have received porn spam, compared to 71% who said that a year ago.
  • 35% of email users say they have received unsolicited email requesting personal financial information.

Further Analysis

Slightly Increasing Volume of Spam

Those who keep tabs on spam report major increases in the volume of spam over the last year. For example, the spam filtering company MessageLabs has reported that in an average month during 2004, spam constituted 73% of email, up from 40% in 2003.1

The early 2005 survey by the Pew Internet & American Life Project found that while more users report an increase than a decrease in spam over the last year, the numbers are much more modest than the dramatic increases reported by spam filtering companies that track spam volumes. In personal email accounts, which have always received more spam than work email accounts, 47% of users say they noticed no change in volume of spam, 28% said they were getting more spam, and 22% said they were getting less spam than a year ago. In work email accounts, 53% of users reported no change, 21% said they were getting more spam, and 16% said they were getting less spam.

This differential between very big increases in calculated spam volume on the internet (an 83% increase reported by MessageLabs) and very modest yet statistically significant increases in spam reported by emailers, suggests that for whatever reason – better filters, more filters, better spam avoidance behavior by users – not much of that additional spam is making it to the inboxes of users.

Declining Impact of Spam

Over the last year and a half, the Pew Internet & American Life Project has been polling internet users about their awareness, behavior, and attitudes toward spam. In a June, 2003, survey, 25% of internet users reported they were using email less because of spam, and 52% said spam made them less trusting of email in general. In addition, some 71% said that spam made being online unpleasant or annoying.

About 8 months later, and two months after the CAN-SPAM Act became law, the negatives intensified, despite the fact that the law was designed to apply restrictions to unsolicited commercial email. Respondents to our survey suggested that users’ frustrations with spam were mounting and the quality of their internet experience was declining. In February, 2004, some 29% of email users said they were using email less because of spam (up 4 points), and 62% said spam had caused them to lose trust in email (up 10 points). And 77% of users said spam made being online unpleasant or annoying (up 6 points). All increases were statistically significant.

Nearly another year later, in January, 2005, the Pew Internet Project again polled internet users on some of the questions about spam. This time, negatives fell back significantly, reverting to their mid-2003 figures or even lower. This suggests the findings from almost one year ago might have represented a spike or a high point, rather than a growing negative trend of the impact of spam on the internet experience.

Effects of spam over time

In January, 2005, some 22% of email users say that spam has reduced their overall use of email – 3 percent less than numbers from 19 months earlier; and 53% say that spam has made them less trusting of email in general – one per cent more than 19 months earlier. The effect of spam on the internet in general also decreased to a new low; some 67% of users said spam made being online unpleasant or annoying — 4 points below numbers from 19 months earlier.

Despite declines, spam remains a relatively major issue for internet users: More than half of internet users, 52%, consider spam a big problem. Internet users are more negative about spam than they are about other commonplace internet problems. For example 45% of internet users consider pop-up ads a big problem, and 31% say computer viruses or worms are a big problem. On the other extreme, only 22% consider spam to be no problem at all, compared to 28% who say that about pop up ads and 38% who say it about viruses or worms.

Users are not helping themselves.

There is little evidence that email users have learned more about how to help themselves combat spam. Despite much publicity and press about spam legislation and prosecutions over the last 12 or 15 months, general internet user awareness has changed little. In June, 2003, 57% of users say they had heard “some” or “a lot” about spam. In January, 2005, some 19 months later, that number stood at 60%. The number of those who said they had heard “only a little” remained steady at 26%. Only the number who said they had heard “nothing at all” about spam declined from 17% to 12% over that time.

Email users have changed their spam avoidance behavior very little in the last year and a half. If anything, they have been a little less likely to practice good habits. In June, 2003, 69% of users say they would avoid posting their email addresses to web sites, a common source for spammers to collect email addresses. Now, 64% say so. The number of users who avoid giving out their email addressees or who set up additional addresses for times they might attract spam remained virtually the same. There is one change that suggests more email users are taking the initiative: In June, 2003, 14% of users said they had set up unusual email addresses, which are harder for random name generating spam software to match. That has increased now to 19%.

Still there seem to be enough email users willing to check out the material that arrives in unsolicited commercial email. Some 6% of email users say they have ordered a product or service offered in an unsolicited email, a number that is virtually unchanged from 7% in June 2003 and 5% one year ago. It is certainly a number adequate to make spam profitable for some purveyors.

Again, about 13% of users say that after responding to an email offer, they later learned it was phony or fraudulent, up from 12% in June 2003 and 9% one year ago.

Changing Content of Spam: less porn, more phishing

Pornographic spam, which has stood out as uniquely offensive to users, has declined significantly. Users who say they have ever received porn spam have decreased from 71% to 63% over the past year. Also, 29% of those who have received porn spam say they are getting less of it now than they were a year ago, compared to 16% who say they are getting more and 52% who say it is unchanged. Also, this compares positively to a year ago, when 25% of those who had received porn spam said they were getting less; 15% were getting more; and 56% reported no change.

Recently, there has been an uptick in the so-called “phishing,” the term for spam that solicits users’ personal and financial information. In this survey, the Pew Internet Project asked users for the first time if they had ever received unsolicited email requesting personal financial information. Some 35% said they had. Of those, some 2% said they had provided the information.

With changing content of spam comes an evolving definition of spam. Spam first hit the stage with “unsolicited commercial email,” where spammers sold products and services ranging from beauty and health-related products to computer software. In June, 2003, 92% of emailers considered unsolicited commercial email from a sender they don’t know to be spam. Now, 87% consider that spam, a significant drop. 

Further, In June, 2003, 74% of emailers considered “unsolicited email from a political or advocacy group” to be spam. A year and a half later, months that spanned the 2004 campaign and election cycle which produced an unprecedented volume of political emails, that number had dropped. In January, 2005, 66% percent of emailers considered unsolicited political or advocacy email to be spam, a statistically significant difference.

Notable Demographic Differences

Men and women were equally likely to say spam was reducing their email use in 2003 (25% for women and 25% for men) and again when that number spiked in 2004 (29% for women and 28% for men). By 2005, the drop in percentage of those who say spam was eroding their email use was much more pronounced for men. By January, 2005, 25% of women said this, compared to 20% of men, a significant difference.

In 2003, men and women reported equal levels of loss of trust in email because of spam (53% for women and 52% for men). In 2004, those numbers rocketed up. Women (65%) were significantly more likely than men (59%) to say spam was causing them to lose trust in email. Then, a year later, loss of trust levels settled back  significantly, with women a just little higher (54% for women and 51% for men)

Similarly, in 2003, just about equal numbers of women (72%) and men (69%) said spam make life online unpleasant or annoying. In 2004, the overall number spiked to 77%, with women still a bit more likely to say that (79% women v 76% men). In January, 2005, the numbers dropped to 67% across the board.

Effects on internet use over time

The youngest user, 18 – 29 years, have traditionally been the most tolerant and least bothered by spam. That trend continues. The 18 – 29 year olds followed the spike in loss of trust in email in February , 2004, and its resettlement to the 2003 levels in January 2005. That is, in 2003, 45% of the youngest users reported a loss of trust in email, compared to 55% of older users. That rose to 56% for younger users and 65% for older users in 2004. It dropped back to 45% for younger users and 55% for older users in 2005.

The quality of online life is reportedly better for the younger users in 2005, a significant change for that group, and one that sets them apart from older users. In 2003, 70% of younger users reported spam made being online unpleasant or annoying, compared to 72% of older users. In 2004, that rose to 78% for younger users and 77% for older users. In 2005, when the overall quality improved overall, 60% of younger users reported online life as unpleasant or annoying, significantly lower than the 70% of older users. Perhaps the more forgiving and casual attitude of younger users extends to a certain gullibility. Once again, younger users were more likely to say they had been cheated online. Some 18% said they had been defrauded, compared to 11% of older users who reported that.

As earlier, those who have been online the longest – the veteran users of at least six years– continue to be the most informed about spam, the most likely to consider any form of unsolicited email to be spam, and the most aggressive about avoiding it. Yet, probably because of their stronger presence online, veteran users still report a slight increase in their spam volume from a year ago. For example, in personal email accounts, some 31% of those who have been online 6 or more years say they are getting more spam than a year ago, compared to 23% of those who have been online fewer years. Further, many more veterans report receiving the newest type of spam, the “phishing” spam where spammers request personal and financial information. Some 42% say they have received such spam, compared to 24% of others. Perhaps the increased spam volumes account for greater numbers of veterans who report that spam is making their online lives unpleasant or annoying. Some 72% of 6 year veterans say this, compared to 61% of others.

The national phone survey covered 2201 American adults, of whom 1421 are internet users and was conducted between January 13 – February 9, 2005. The margin of error on data involving internet users is plus or minus 3 percentage points.


The Pew Internet & American Life Project is a non-profit initiative of the Pew Research Center and is funded by the Pew Charitable Trusts to examine the social impact of  the internet. The project does not advocate any policy outcomes. It is non-partisan.

Questions and Data

January 2005 Daily Tracking Survey

Final Topline, 2/11/05

Data for January 13 – February 9, 2005

Princeton Survey Research Associates International for the Pew Internet & American Life Project

Sample: n = 2,201 adults 18 and older
Interviewing dates: 01.13.05 – 02.09.05

  • Margin of error is plus or minus 2 percentage points for results based on the full sample [n=2,201]
  • Margin of error is plus or minus 3 percentage points for results based on internet users [n=1,421]

WEB1    Please tell me if you ever use the internet to do any of the following things.  Do you ever use the internet to…/Did you happen to do this yesterday, or not?2

[N=1,421]

Please tell me if you ever use the internet to do any of the following things. Do you ever use the internet to…/Did you happen to do this yesterday, or not?

 

Q19     I’m going to read a list of things that are sometimes a problem for internet users.  Please tell me if, for you personally, each one is a BIG problem, a SMALL problem, or NOT a problem at all. 

Based on internet users [N=1,421]

Q19 I’m going to read a list of things that are sometimes a problem for internet users. Please tell me if, for you personally, each one is a BIG problem, a SMALL problem, or NOT a problem at all.

SP1       How much have you heard or read about SPAM, or junk email?  Have you heard or read…?

Based on internet users [N=1,421]

How much have you heard or read about SPAM, or junk email? Have you heard or read…?

SP2      We’d like to know if unsolicited email, or spam, has affected you in any of the following ways.  Has spam…?

Based on email users [N=1,295]

SP2 We’d like to know if unsolicited email, or spam, has affected you in any of the following ways. Has spam…?

SP4     Thinking about your email…  Do you have…3

             Based on email users [N=1,295]

SP4 Thinking about your email… Do you have…

SP5      Thinking just about your PERSONAL email account…In the past 12 months, have you noticed any change in the amount of spam you receive in your PERSONAL email account?   IF YES: Are you getting MORE or LESS spam in your PERSONAL email than you were before?4

            Based on those with personal email account [N=1,116]

Thinking just about your PERSONAL email account…In the past 12 months, have you noticed any change in the amount of spam you receive in your PERSONAL email account? IF YES: Are you getting MORE or LESS spam in your PERSONAL email than you were before?

SP6     Thinking just about your WORK email account… In the past 12 months, have you noticed any change in the amount of spam you receive in your WORK account?   IF YES: Are you getting MORE or LESS spam in your WORK email than you were before?5

            Based on those with work email account [N=599]

SP6 Thinking just about your WORK email account… In the past 12 months, have you noticed any change in the amount of spam you receive in your WORK account? IF YES: Are you getting MORE or LESS spam in your WORK email than you were before?

SP18    We’d like to know if you have ever done the following things to avoid receiving spam or junk email in an email account.  Have you ever…?

                Based on email users [N=1,295]

SP18 We’d like to know if you have ever done the following things to avoid receiving spam or junk email in an email account. Have you ever…?

SP31    If you received…[INSERT; ROTATE] would you think of this as spam, or not?

                Based on email users [N=1,295]

SP31 If you received…[INSERT; ROTATE] would you think of this as spam, or not?

SP3     Thinking about all of the times you’ve received unsolicited email, have you ever…?

                Based on Email users [N=1,295]

SP3 Thinking about all of the times you’ve received unsolicited email, have you ever…?

SP7a     Have you ever provided personal financial information that was requested in an unsolicited email?

Based on those who have gotten unsolicited email requesting personal financial information [N=460]

SP7a Have you ever provided personal financial information that was requested in an unsolicited email?

SP7b    In the past 12 months, have you noticed any change in the amount of PORNOGRAPHIC spam you receive?  IF YES: Are you getting MORE or LESS pornographic spam than you were before?6

            Based on those who received pornographic spam [N=822]

SP7b In the past 12 months, have you noticed any change in the amount of PORNOGRAPHIC spam you receive? IF YES: Are you getting MORE or LESS pornographic spam than you were before?

SP8       Have you ever responded to an email offer, only to find out later it was phony or fraudulent?

                Based on email users [N=1,295]

SP8 Have you ever responded to an email offer, only to find out later it was phony or fraudulent?

Methodology

This report is based on the findings of a daily tracking survey on Americans’ use of the Internet. The results in this report are based on data from telephone interviews conducted by Princeton Survey Research Associates between January 13 to February 9, 2005, among a sample of 2,201 adults, 18 and older.  For results based on the total sample, one can say with 95% confidence that the error attributable to sampling and other random effects is plus or minus 2.2 percentage points.  For results based Internet users (n=1,421), the margin of sampling error is plus or minus 2.7 percentage points.  The margin of error for estimates based on Form A or Form B respondents is plus or minus 3.2 percentage points.  In addition to sampling error, question wording and practical difficulties in conducting telephone surveys may introduce some error or bias into the findings of opinion polls.

The sample for this survey is a random digit sample of telephone numbers selected from telephone exchanges in the continental United States. The random digit aspect of the sample is used to avoid “listing” bias and provides representation of both listed and unlisted numbers (including not-yet-listed numbers). The design of the sample achieves this representation by random generation of the last two digits of telephone numbers selected on the basis of their area code, telephone exchange, and bank number.

New sample was released daily and was kept in the field for at least five days. The sample was released in replicates, which are representative subsamples of the larger population. This ensures that complete call procedures were followed for the entire sample.  At least 10 attempts were made to complete an interview at sampled households. The calls were staggered over times of day and days of the week to maximize the chances of making contact with a potential respondent. Each household received at least one daytime call in an attempt to find someone at home.  In each contacted household, interviewers asked to speak with the youngest male currently at home. If no male was available, interviewers asked to speak with the oldest female at home. This systematic respondent selection technique has been shown to produce samples that closely mirror the population in terms of age and gender.  All interviews completed on any given day were considered to be the final sample for that day. The overall response rate was 30.1%.

Non-response in telephone interviews produces some known biases in survey-derived estimates because participation tends to vary for different subgroups of the population, and these subgroups are likely to vary also on questions of substantive interest. In order to compensate for these known biases, the sample data are weighted by form in analysis. The demographic weighting parameters are derived from a special analysis of the most recently available Census Bureau’s 2004 Annual Social and Economic Supplement (March 2004). This analysis produces population parameters for the demographic characteristics of adults age 18 or older, living in households that contain a telephone. These parameters are then compared with the sample characteristics to construct sample weights. The weights are derived using an iterative technique that simultaneously balances the distribution of all weighting parameters.